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A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer study.

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第一作者： Lipika Ray,Pal

第一单位： Cancer Data Science Laboratory (CDSL), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA.;These authors contributed equally to this work as co-first authors.

作者： Lipika Ray,Pal ^[1] ; Edward Michael,Gertz ^[1] ; Nishanth,Ulhas Nair ^[1] ; Sumit,Mukherjee ^[2] ; Sumeet,Patiyal ^[2] ; Thomas,Cantore ^[3] ; Emma M,Campagnolo ^[3] ; Tian-Gen,Chang ^[3] ; Saugato Rahman,Dhruba ^[3] ; Yewon,Kim ^[3] ; Eldad David,Shulman ^[3] ; Padma Sheila,Rajagopal ^[4] ; Danh-Tai,Hoang ^[3] ; Alejandro A,Schäffer ^[3] ; Eytan,Ruppin ^[5]

作者单位： Cancer Data Science Laboratory (CDSL), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA.;These authors contributed equally to this work as co-first authors. ^[1] Cancer Data Science Laboratory (CDSL), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA.;These authors contributed equally to this work. ^[2] Cancer Data Science Laboratory (CDSL), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA. ^[3] Cancer Data Science Laboratory (CDSL), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA.;Women's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA. ^[4] Cancer Data Science Laboratory (CDSL), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA.;Jim and Eleanor Randall Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA. ^[5]

DOI 10.1101/2025.10.24.684491

PMID 41473283

发布时间 2026-01-08

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A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer study.

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A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer study.

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